learning simulation 中文意思是什麼

learning simulation 解釋
學習模擬
  • learning : n 學，學習；學問，學識；專門知識。 good at learning 善於學習。 a man of learning 學者。 New learn...
  • simulation : n. 假裝；模擬；裝病，裝瘋；【生物學】擬態，擬色。
  1. The campus has its hall, library, lecture theatres, laboratories, computer rooms, workshops, chinese - style and western - style training kitchens and restaurants, hotel training guestroom, front office simulation unit, accommodation training unit, centre for independent language learning, jockey club student centre, as well as sports and recreational facilities

    設施分校設有禮堂、圖書館、演講室、實驗室、電腦室、工場、中西廚房及訓練餐廳、酒店訓練客房、前堂部訓練室、客房業務訓練室、語文自學中心、賽馬會學生中心及康體設施。
  2. Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last

    在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。
  3. A further study of the dynamic weighing and batching process is made and an iteration self - learning control method is used to dynamic weighing and batching process control. the simulation tests are made and satisfied performances are reached. 4

    對動態稱量配料的受控過程作了進一步的研究，將迭代自學習的控制方法應用於動態稱量配料過程式控制制，進行了控制系統的設計和計算機模擬實驗研究。
  4. Simulation results show that both of them have satisfactory performance and strong robustness. 2. to ph processes, which are nonlinear and time varying, the neural network model is structured and the learning algorithm is presented, based on which the model - free controller is designed, while the controller gain is scheduled by a fuzzy method

    針對具有嚴重非線性和不確定性的ph中和過程，給出一種神經網路模型，提出了一種神經非模型控制方法，該方法利用模糊演算法在線調整神經網路控制器的增益，模擬實驗表明這種基於神經網路的非模型控制方法能有效控制ph過程，具有優良的控製品質和強魯棒性。
  5. Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created

    神經網路控制是智能控制的重要方式之一，它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法（ bp演算法） ，特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次，應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器，作為引入神經網路控制的設計基礎，並建立了系統的模擬模型。
  6. The main characteristics of problem - based learning are : ( 1 ) learning is student - centered ( 2 ) learning occurs in small student groups ( 3 ) teachers are facilitators or guiders ( 4 ) problems form the organizing focus and stimulus for learning ( 5 ) problems are authentic and ill - structured ( 6 ) problems are a vehicle for the development of real - world problem - solving skills ( 7 ) new information is acquired and skills are trained through problem - solving process ( 8 ) evaluation is authentic and performance - based. after describing the features of problem - based learning, this thesis compares problem - based learning with other instruction models - lecture, direct instruction, case methods, discover - based inquiry, problem - centered learning, simulation and gaming and mantle of the expert ( roles ) on three aspects : ro

    這種教學模式的基本特徵是： （ 1 ）是一種以學生為中心的教學方法； （ 2 ）學習形式是以一個學生小組為單位； （ 3 ）教師是輔助者、引導者； （ 4 ）以問題為中心組織教學並作為學習的驅動力； （ 5 ）問題是真實的、劣構的； （ 6 ）問題是發展學生實際解決問題能力的手段； （ 7 ）在問題解決的過程中獲得新的知識、培養能力； （ 8 ）真實的、基於績效的評價。
  7. In the algorithm level, currently various training algorithms of neural networks, including gradient algorithms, intelligent learning algorithms and hybrid algorithms, are comparatively studied ; the optimization principle of bp algorithm for neural networks training is analyzed in detail, and the reasons for serious disadvantages of bp algorithms are found out, moreover, the optimization principle of two kinds of improved bp algorithms is described in a uniform theoretic framework ; and the global optimization algorithms of neural networks, mainly genetic algorithm are expounded in detail, it follows that a improved genetic algorithm is proposed ; finally the training performances of various algorithms are compared based on a simulation experiment on a benchmark problem of neural network learning, furthermore, a viewpoint that genetic algorithm is subject to " curse of dimension " is proposed

    在演算法層，本文對目前用於神經網路訓練的各種演算法，包括梯度演算法、智能學習演算法和混合學習演算法進行了比較研究；對用於神經網路訓練的bp演算法的優化原理進行了詳細的理論分析，找到了bp演算法存在嚴重缺陷的原因，並對其兩類改進演算法-啟發式演算法和二次梯度演算法的優化原理，在統一的框架之下進行了詳盡的理論描述；對神經網路全局優化演算法主要是遺傳演算法進行了詳細的闡述，並在此基礎上，設計了一種性能改進的遺傳演算法；最後基於神經網路學習的benchmark問題對各種演算法在網路訓練中的應用性能進行了模擬研究，並提出了遺傳演算法受困於「維數災難」的觀點。
  8. Some methods are totally new for us, for example, assignment groups are reorganized every weekly according to the strong points of each member, so as to cultivate their abilities to cooperate and fulfill their tasks ; three evaluations will be made for each class activity and after - class assignment, that is, self - demonstration and evaluation, classmates questioning and evaluation, as well as trainers evaluation ; trainees are organized to have an on - line experience of the virtual learning community ; and there are many other teaching methods like situation simulation, panel discussion, field survey, etc

    課堂上安排的教學內容很緊湊，教學形式多種多樣。一些教學方式對於我們是全新的，比如：每周都根據大家的特長重新組合作業小組，鍛煉所有成員之間相互協作完成任務的能力針對每次完成的課堂練習和課後作業都有三次評價：自我演示和評價同學質疑和評價教師評價在線體驗虛擬學習社區及其他各種教學方法如情景模擬小組討論實地考察等。
  9. The dissertation described the theory of wavelet in detail and presented the method of building wavelet function, presented the learning method and adjusting factor law of bp wavelet neural - networks, designed neural - networks controller. the result of simulation showed the controller could compensate dynamic inverse error

    針對動態逆產生的逆誤差，本文對基於bp小波神經網路進行了研究，給出了學習演算法和權值調整律，設計了神經網路控制器並進行了模擬，模擬結果表明能夠較好的補償動態逆產生的誤差。
  10. The artificial neural net ( ann ) way is universal regard as one of the most effective ways of stlf. in this paper, some research is developed for stlf using ann ways in several parts : the first part is about the arithmetic of ann based on bp model, namely the advanced of traditional bp arithmetic, one alterable step and scale bp arithmetic based on comparability of model and probability of accepting bp arithmetic is used to enhances a lot the convergence rate of learning process of bp network, but also avoid the stagnation problem to some extent. it indicates that the ann ' s efficiency and precision by the way can be ameliorated by the simulation of real data

    神經網路方法在短期預測中已經被公認為較有效的方法，本文針對神經網路用於電力系統短期負荷預測的幾個方面展開研究工作：第一部分研究一般用於負荷預測的神經網路bp模型的演算法，即對傳統的bp演算法的改進，將一種基於模式逼近度和接受概率的變步長快速bp演算法應用到短期負荷預測，模擬結果表明該方法有效的改善了bp演算法收斂速度慢以及容易陷入局部最小點的缺點，從而提高了神經網路用於負荷預測的效率和精度。
  11. The main contribution of this dissertation is summarized as follows : 1. through improving the choice of learning rate and implementing online adjustment of control plus, a simple and rapid single - nerve adaptive control method with learning ability is proposed, the effectiveness of which is proved by simulation

    論文的主要工作如下： 1通過對學習速率選取的改進和控制增益的在線調節，提出了一種簡便而快速的具有學習能力的單神經元自適應控制方法，模擬結果驗證了其有效性。
  12. The supervised and unsupervised learning diagnosis methods are discussed and several improvements have been presented in the learning algorithms. the simulation results show that the proposed method can perforfti correct diagtioals iii the linear analog circuits with tolerances

    本文對模擬故障診斷的有監督學習和無監督學習方法分別進行了研究，通過對實現過程的分析，對經典的學習演算法進行深入研究，並提出若干改進。
  13. The present perspectives of research are mostly limited to the improvement of design of the situations of computer simulation to integrate more teaching functions. while there are still few researches on the models that explore the application of computer simulation into scientific discovery learning on the ground of the activity structure of scientific discovery learning

    並且現有研究的視角大多局限於改進計算機模擬情境的設計以整合更多的教學功能，而立足科學發現學習的活動結構，探索計算機模擬應用於科學發現學習的模式研究還不多見。
  14. Based upon the present researches, we analyze the activity structure of scientific discovery learning. and at the same time, based upon the teaching situation and the earlier investigation, we place computer simulation as an experimenting and exploring aspect for the scientific discovery learning so as to offer a environment of experimenting and exploring for the students

    在已有研究的基礎上，我們分析了科學發現學習的活動結構，根據物理教學的實際和前期調查研究的結果將計算機模擬定位於科學發現學習的實驗探索環節，為學生提供一個開放的實驗探索環境。
  15. At last the learning method for conditional probability distribution is investigated. * the congestion computing of tn and simulation in this paper a special stochastic process is studied and applied in telephone < wp = 7 > switch system. the congestion principle is analyzed from link system, telecommunication network and switcher

    *電信網阻塞計算方法及模擬本文研究了增消隨機過程及在電話交換系統中的應用，並從鏈路系統、電信網路及交換機等方面分析了電信網產生阻塞的機理並推導了阻塞計算方法。
  16. Grounded upon this, we design the basic model and the integrate model of computer simulation that applies into the scientific discovery learning in middle school physics

    基於此，我們設計了計算機模擬應用於初中物理科學發現學習的基本模式和整合模式。
  17. Computer simulation can offer an open exploring learning environment for the learners, therefore, is often regarded as an instrument for the scientific discovery learning

    計算機模擬可以為學習者提供一種開放的探索性學習環境，常被用作科學發現學習的工具。
  18. The integrate model of the application of computer simulation into scientific discovery learning shows significant promoting effects upon the students " ability of the flexible application of the knowledge ; 4. the students " physics basis have very significant effects upon their scientific discovery learning ; 5. the integrate situation model basically realizes the complementary advantages between computer simulation situation experiments and the real situation experiments, but it exposes some drawbacks in the aspect of students " understanding of the nature of experiment exploring and students " changing of naive conception

    針對實驗一的結果，實驗二對基本模式進行了修正，整合進了真實探索情境，結果表明，與基於真實探索情境的科學發現學習模式相比：計算機模擬應用於科學發現學習的整合模式對學生原理性知識的掌握表現出非常顯著的促進作用；計算機模擬應用於科學發現學習的整合模式對學生的直覺性理解未表現山顯著的促進作用；計算機模擬應用於科學發現學習的整合模式對學生的靈活應用表現出顯著的促進作用；學生的物理基礎對其科學發現學習具有非常顯著的影響；整合情境模式基本實現了計算機模擬情境和真實情境的優勢互補，但在學生對實驗探索的理解和樸素概念的轉變上也暴露出了一些不足之處。
  19. The basic model of the application of computer simulation into scientific discovery learning shows almost significant promoting effects upon the students " mastery of the principle knowledge ; 2. the basic model of the application of computer simulation into scientific discovery learning shows significant promoting effects upon the students " intuitional understanding ; 3. the basic model of the application of computer simulation into scientific discovery learning shows significant promoting effects upon the students " ability of the flexible application of the knowledge ; 4

    實驗一考察了計算機模擬應用於科學發現學習的基本模式的效果，結果發現，與基於真實探索情境的科學發現學習模式相比：計算機模擬應用於科學發現學習的基本模式對學生原理性知識的掌握表現出近似顯著的促進作用；計算機模擬應用於科學發現學習的基本模式對學生的直覺性理解表現出顯著的促進作用；計算機模擬應用於科學發現學習的基本模式對學生的靈活應用表現出顯著的促進作用；計算機模擬在促進學生進行科學發現學習的同時，也表現出一定的負面效應。
  20. But most of the present simulation - based scientific discovery learning researches explore and perfect the teaching functions of the computer simulation from the aspect of educational technology or the aspect of educational psychology. however, there are few researches that explore the application of computer simulation into the specific subject teaching

    但現有基於計算機模擬的科學發現學習研究，多是從教育技術學或教育心理學的角度探索和完善計算機模擬的教學功能，而探索計算機模擬應用於學科教學的研究還很缺乏。
分享友人
分享到 Line

分享到臉書